Benchmark: Lodash3 cloneDeep vs JSON Clone (BIG OBJECT)

HTML Preparation code:


<script src='https://lodash.com/vendor/cdn.jsdelivr.net/lodash/3.10.1/lodash.min.js'></script>

Script Preparation code:

var MyObject = {
  "web-app": {
    "servlet": [
      {
        "servlet-name": "cofaxCDS",
        "servlet-class": "org.cofax.cds.CDSServlet",
        "init-param": {
          "configGlossary:installationAt": "Philadelphia, PA",
          "configGlossary:adminEmail": "ksm@pobox.com",
          "configGlossary:poweredBy": "Cofax",
          "configGlossary:poweredByIcon": "/images/cofax.gif",
          "configGlossary:staticPath": "/content/static",
          "templateProcessorClass": "org.cofax.WysiwygTemplate",
          "templateLoaderClass": "org.cofax.FilesTemplateLoader",
          "templatePath": "templates",
          "templateOverridePath": "",
          "defaultListTemplate": "listTemplate.htm",
          "defaultFileTemplate": "articleTemplate.htm",
          "useJSP": false,
          "jspListTemplate": "listTemplate.jsp",
          "jspFileTemplate": "articleTemplate.jsp",
          "cachePackageTagsTrack": 200,
          "cachePackageTagsStore": 200,
          "cachePackageTagsRefresh": 60,
          "cacheTemplatesTrack": 100,
          "cacheTemplatesStore": 50,
          "cacheTemplatesRefresh": 15,
          "cachePagesTrack": 200,
          "cachePagesStore": 100,
          "cachePagesRefresh": 10,
          "cachePagesDirtyRead": 10,
          "searchEngineListTemplate": "forSearchEnginesList.htm",
          "searchEngineFileTemplate": "forSearchEngines.htm",
          "searchEngineRobotsDb": "WEB-INF/robots.db",
          "useDataStore": true,
          "dataStoreClass": "org.cofax.SqlDataStore",
          "redirectionClass": "org.cofax.SqlRedirection",
          "dataStoreName": "cofax",
          "dataStoreDriver": "com.microsoft.jdbc.sqlserver.SQLServerDriver",
          "dataStoreUrl": "jdbc:microsoft:sqlserver://LOCALHOST:1433;DatabaseName=goon",
          "dataStoreUser": "sa",
          "dataStorePassword": "dataStoreTestQuery",
          "dataStoreTestQuery": "SET NOCOUNT ON;select test='test';",
          "dataStoreLogFile": "/usr/local/tomcat/logs/datastore.log",
          "dataStoreInitConns": 10,
          "dataStoreMaxConns": 100,
          "dataStoreConnUsageLimit": 100,
          "dataStoreLogLevel": "debug",
          "maxUrlLength": 500
        }
      },
      {
        "servlet-name": "cofaxEmail",
        "servlet-class": "org.cofax.cds.EmailServlet",
        "init-param": {
          "mailHost": "mail1",
          "mailHostOverride": "mail2"
        }
      },
      {
        "servlet-name": "cofaxAdmin",
        "servlet-class": "org.cofax.cds.AdminServlet"
      },
      {
        "servlet-name": "fileServlet",
        "servlet-class": "org.cofax.cds.FileServlet"
      },
      {
        "servlet-name": "cofaxTools",
        "servlet-class": "org.cofax.cms.CofaxToolsServlet",
        "init-param": {
          "templatePath": "toolstemplates/",
          "log": 1,
          "logLocation": "/usr/local/tomcat/logs/CofaxTools.log",
          "logMaxSize": "",
          "dataLog": 1,
          "dataLogLocation": "/usr/local/tomcat/logs/dataLog.log",
          "dataLogMaxSize": "",
          "removePageCache": "/content/admin/remove?cache=pages&id=",
          "removeTemplateCache": "/content/admin/remove?cache=templates&id=",
          "fileTransferFolder": "/usr/local/tomcat/webapps/content/fileTransferFolder",
          "lookInContext": 1,
          "adminGroupID": 4,
          "betaServer": true
        }
      }
    ],
    "servlet-mapping": {
      "cofaxCDS": "/",
      "cofaxEmail": "/cofaxutil/aemail/*",
      "cofaxAdmin": "/admin/*",
      "fileServlet": "/static/*",
      "cofaxTools": "/tools/*"
    },
    "taglib": {
      "taglib-uri": "cofax.tld",
      "taglib-location": "/WEB-INF/tlds/cofax.tld"
    }
  }
};
var data=[]
for(var i=0; i<100000; i++){
  data.push(MyObject);
}

var myCopy = null;

Tests:

cloneDeep
myCopy = _.cloneDeep(data);
JSON.parse
myCopy = JSON.parse(JSON.stringify(data));

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
cloneDeep
JSON.parse

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one month ago):

LLMs can make mistakes. Check important info.

I'll break down the provided benchmark definition, test cases, and latest benchmark results to explain what's being tested.

**Benchmark Definition**

The benchmark is comparing two approaches to cloning a large JavaScript object:

1. `_.cloneDeep(data)` using Lodash's `cloneDeep` function.
2. `JSON.parse(JSON.stringify(data))`.

**What are these functions doing?**

* `_.cloneDeep(data)` creates a deep copy of the input object `data`, which means it recursively clones all nested objects and arrays, rather than just copying their references. This ensures that any changes made to the cloned object won't affect the original.
* `JSON.parse(JSON.stringify(data))` uses JSON serialization to create a new object that's equivalent to the original `data`. However, this approach has limitations:
	+ It only clones the top-level properties and doesn't recursively clone nested objects or arrays.
	+ It can lead to issues with dates, regular expressions, and other complex data types.

**Pros and Cons of each approach**

* **_.cloneDeep(data)**:
	+ Pros: Recursively clones all nested objects and arrays, ensures that changes don't affect the original.
	+ Cons: Can be slower due to the recursive cloning process, may consume more memory if dealing with large datasets.
* **JSON.parse(JSON.stringify(data))**:
	+ Pros: Fast and efficient for simple data structures, easy to implement.
	+ Cons: Limited to top-level properties, can fail with complex data types (dates, regex), and doesn't ensure deep equality.

**Test Cases**

The benchmark tests two individual test cases:

1. `_.cloneDeep(data)`
2. `JSON.parse(JSON.stringify(data))`

Each test case is designed to measure the performance of its respective cloning approach.

**Latest Benchmark Results**

The results show that Chrome 80, running on a Mac OS X 10.14.6 desktop, executed each test case:

* `_.cloneDeep(data)` at an execution rate of approximately 69 executions per second.
* `JSON.parse(JSON.stringify(data))` at an execution rate of approximately 0.36 seconds.

These results suggest that the Lodash `cloneDeep` function is significantly faster than using JSON serialization for deep cloning, especially when dealing with large datasets.

In conclusion, this benchmark highlights the importance of choosing the right cloning approach based on your specific use case. If you need to ensure deep equality and performance, `_.cloneDeep(data)` might be a better choice. However, if you're working with simple data structures and prioritize speed, `JSON.parse(JSON.stringify(data))` could be sufficient.

Latest run results:

Run details: (Test run date: 4 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.122 Safari/537.36

Browser/OS: Chrome 80 on Mac OS X 10.14.6

View result in a separate tab

Test name	Executions per second
cloneDeep	69.1 Ops/sec
JSON.parse	0.4 Ops/sec

Related benchmarks:

Lodash3 cloneDeep vs JSON Clone (BIG OBJECT) (version: 0)

Comparing performance of: cloneDeep vs JSON.parse

Created: 4 years ago by: Guest

Jump to the latest result

cloneDeep

JSON.parse

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one month ago):